For complete visibility into the performance of your applications, you need telemetry data—traces, metrics, and logs—that describes activity across your entire stack. But if you’re using multiple monitoring tools, your data can end up in silos, making it difficult to troubleshoot issues that affect your user experience.
AWS’s annual re:Invent wrapped up this week, and although we didn’t get to see customers, colleagues and, friends in Las Vegas this year, it was still an eventful three weeks. Spot by NetApp sponsored the virtual conference and hosted a number of activities including our AWS JAM session on Kubernetes and infrastructure scaling, an expert session on cloud compute optimization, and an interview with Spot by NetApp’s CEO and founder, Amiram Shachar.
Looking back at the unprecedented challenges we faced together in 2020, we’d like to extend our thanks to the community of people who have continued to work towards Netdata’s mission of simplifying monitoring and troubleshooting for everyone. Let’s review some of this year’s highlights.
Codecov is a code analysis tool with which users can group, merge, archive, and compare coverage reports. Code coverage describes which lines of code were executed by the test suite and which ones were not. However, this is not to be confused with a testing tool. Codecov does not run your tests, that is the job of your testing tools. The analysis that Codecov provides will classify code in either of the following states: Additionally, In this tutorial, we will.
We here at Robin.io are getting set to put a bow on what’s been as unpredictable and challenging a year as any of us can ever remember. In spite of lots of anxiety, oft-interrupted video calls, and a slew of new rules for doing business, Robin ends 2020 having accomplished a number of its goals for the year. It has taken flexibility, dedication and cooperation on the part of every Robin employee, partner and customer for us to be in such a strong position entering the new year.
Earlier this year, Gartner published “How to Manage and Optimize Costs of Public Cloud IaaS and PaaS,” by analysts Marco Meinardi and Traverse Clayton. As a company that is focused on enabling engineering teams with cloud cost intelligence, we were of course curious what they had to say. Now, if you are familiar with Gartner, you know they have a reputation for serving enterprise clients, so they can sometimes be — well, enterprisey.
Without unified visibility across your entire stack, it can be difficult to investigate backend dependencies when troubleshooting frontend issues, or to track the source of database failures that originate from bad browser requests. Full-stack visibility gives you the insight you need to pinpoint and resolve incidents quickly.
Whether you’re deciding on follow-up items for a postmortem, submitting a request-for-comments for review, or creating an executive report, making sense of all the available data and collaborating with others to tell a clear, data-driven story can be difficult. When there are multiple stakeholders and teams working together, it can be hard to manage the back-and-forth process of feedback and revision to ensure you have up-to-date information.
API tests are key to ensuring your applications receive and respond to requests efficiently. For example, a slow API endpoint or an unexpected timeout in processing a request can significantly affect user experience, so API tests can help you monitor the performance of your endpoints and the overall health of your applications.
